Texas Entrepreneurship Score

Entrepreneurship in Texas Counties

This visualization aims to identify which counties in Texas have been leading the charge in innovation and entrepreneurship. We take three different factors into consideration in our analysis: number of new companies per capita, number of small business loans per capita, and number of patents awarded per capita. A shade closer to green on the map implies a stronger entrepreneurship score.

We also created various ways to interact and customize this map. Firstly, users can go back in time until 1990 using the ‘Years’ slider to see how entrepreneurship patterns changed across Texas in these 30 years. Also, you can customize how much weight each of our three metrics has on the final score. They all start weighted equally, but if for example you want to see only the Number of Patents considered, just change the weights of the other 2 metrics to 0.

Trends by County

In this graph, you can examine how entrepreneurship developed in each Texas county from 1990 to 2020. In the County drop-down selector, search and select for the county of interest.

Each row within the graph represents one of the three factors we considered most important to measure entrepreneurship: small business loans(SBLs), new companies created, and patents awarded.
The gray lines represent averages among all Texas countries.

Socioeconomic Measures

We believe that the best way to correct for historical and societal factors that put some groups at a disadvantage is to explicitly see their effect. Therefore, we created a third customizable dynamic graph plotting entrepreneurship measures against socio-economic ones. For example, it provides the opportunity to explore how % of white or % of male residents affect all these factors. We provide the following socioeconomic metrics to explore: working age population, white residents rate, male residents rate, bachelor’s degree rate, high school diploma rate, county population, unemployment rate, uninsured rate, violent crime rate, and median household income. We hope that by finding correlations between any of the aforementioned metrics versus the three entrepreneurship score components (new companies founded, SBL received, or patents awarded) local leaders will be able to find their next policy targets. Additionally, this chart can be cross-referenced and closely studied to connect information from charts 2 and 3 as the entrepreneurship score measures share colors between the two visualizations.